Overview

Brought to you by YData

Dataset statistics

Number of variables	41
Number of observations	19357
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.1 MiB
Average record size in memory	328.0 B

Variable types

Numeric	16
Categorical	25

Alerts

`Deuda_Pendiente` is highly overall correlated with `Mezcla_Crediticia_Bad` and 1 other fields	High correlation
`Edad` is highly overall correlated with `Edad_Historial_Credito` and 1 other fields	High correlation
`Edad_Historial_Credito` is highly overall correlated with `Edad`	High correlation
`Inversion_Mensual` is highly overall correlated with `Salario_Mensual` and 2 other fields	High correlation
`Mezcla_Crediticia_Bad` is highly overall correlated with `Deuda_Pendiente` and 5 other fields	High correlation
`Mezcla_Crediticia_Good` is highly overall correlated with `Mezcla_Crediticia_Standard` and 4 other fields	High correlation
`Mezcla_Crediticia_Standard` is highly overall correlated with `Mezcla_Crediticia_Good` and 2 other fields	High correlation
`Num_Consultas_Credito` is highly overall correlated with `Mezcla_Crediticia_Bad`	High correlation
`Num_Pagos_Retrasados` is highly overall correlated with `Mezcla_Crediticia_Bad` and 2 other fields	High correlation
`Num_Tarjetas_Credito` is highly overall correlated with `Mezcla_Crediticia_Bad`	High correlation
`Pago_Minimo_No` is highly overall correlated with `Mezcla_Crediticia_Good` and 1 other fields	High correlation
`Pago_Minimo_Yes` is highly overall correlated with `Mezcla_Crediticia_Good` and 1 other fields	High correlation
`Retraso_Pago` is highly overall correlated with `Mezcla_Crediticia_Bad`	High correlation
`Salario_Mensual` is highly overall correlated with `Inversion_Mensual` and 3 other fields	High correlation
`Saldo_Mensual` is highly overall correlated with `Salario_Mensual`	High correlation
`Tasa_Interes` is highly overall correlated with `Mezcla_Crediticia_Bad` and 2 other fields	High correlation
`Total_Cuota_Mensual` is highly overall correlated with `Inversion_Mensual` and 2 other fields	High correlation
`credit_history_ratio` is highly overall correlated with `Edad`	High correlation
`debt_to_income` is highly overall correlated with `Deuda_Pendiente` and 2 other fields	High correlation
`payment_to_income` is highly overall correlated with `Total_Cuota_Mensual`	High correlation
`Comportamiento_de_Pago_Low_spent_Large_value_payments` is highly imbalanced (50.2%)	Imbalance
`Mezcla_Crediticia_Bad` is highly imbalanced (67.5%)	Imbalance
`Ocupacion_Architect` is highly imbalanced (59.8%)	Imbalance
`Ocupacion_Developer` is highly imbalanced (66.5%)	Imbalance
`Ocupacion_Doctor` is highly imbalanced (64.2%)	Imbalance
`Ocupacion_Engineer` is highly imbalanced (63.8%)	Imbalance
`Ocupacion_Entrepreneur` is highly imbalanced (64.5%)	Imbalance
`Ocupacion_Journalist` is highly imbalanced (67.4%)	Imbalance
`Ocupacion_Lawyer` is highly imbalanced (64.2%)	Imbalance
`Ocupacion_Manager` is highly imbalanced (63.3%)	Imbalance
`Ocupacion_Mechanic` is highly imbalanced (64.9%)	Imbalance
`Ocupacion_Media_Manager` is highly imbalanced (63.8%)	Imbalance
`Ocupacion_Musician` is highly imbalanced (65.8%)	Imbalance
`Ocupacion_Scientist` is highly imbalanced (64.1%)	Imbalance
`Ocupacion_Teacher` is highly imbalanced (65.6%)	Imbalance
`Ocupacion_Writer` is highly imbalanced (65.4%)	Imbalance
`Retraso_Pago` has 330 (1.7%) zeros	Zeros
`Num_Pagos_Retrasados` has 519 (2.7%) zeros	Zeros
`Num_Consultas_Credito` has 2310 (11.9%) zeros	Zeros
`Inversion_Mensual` has 196 (1.0%) zeros	Zeros

Reproduction

Analysis started	2025-04-17 04:52:32.928522
Analysis finished	2025-04-17 04:53:00.978908
Duration	28.05 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Edad
Real number (ℝ)

High correlation

Distinct	33
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.630676

Minimum	18
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	18
5-th percentile	18
Q1	22
median	26
Q3	33
95-th percentile	42
Maximum	50
Range	32
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	7.4740396
Coefficient of variation (CV)	0.27049789
Kurtosis	-0.29458367
Mean	27.630676
Median Absolute Deviation (MAD)	5
Skewness	0.74530227
Sum	534847
Variance	55.861268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
19	1291	6.7%
20	1209	6.2%
22	1202	6.2%
21	1167	6.0%
24	1156	6.0%
23	1128	5.8%
18	1111	5.7%
25	1039	5.4%
26	971	5.0%
27	888	4.6%
Other values (23)	8195	42.3%

Value	Count	Frequency (%)
18	1111	5.7%
19	1291	6.7%
20	1209	6.2%
21	1167	6.0%
22	1202	6.2%
23	1128	5.8%
24	1156	6.0%
25	1039	5.4%
26	971	5.0%
27	888	4.6%

Value	Count	Frequency (%)
50	9	< 0.1%
49	56	0.3%
48	94	0.5%
47	65	0.3%
46	108	0.6%
45	172	0.9%
44	222	1.1%
43	203	1.0%
42	176	0.9%
41	315	1.6%

Salario_Mensual
Real number (ℝ)

High correlation

Distinct	3322
Distinct (%)	17.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4871.9399

Minimum	332.12833
Maximum	15115.19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	332.12833
5-th percentile	1012.2096
Q1	1985.7408
median	3529.8733
Q3	7133.2933
95-th percentile	11748.077
Maximum	15115.19
Range	14783.062
Interquartile range (IQR)	5147.5525

Descriptive statistics

Standard deviation	3510.8863
Coefficient of variation (CV)	0.72063416
Kurtosis	-0.10252891
Mean	4871.9399
Median Absolute Deviation (MAD)	2052.0767
Skewness	0.90698016
Sum	94306141
Variance	12326323
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1315.560833	14	0.1%
6769.13	12	0.1%
5766.491667	10	0.1%
3953.978333	8	< 0.1%
4697.666667	8	< 0.1%
5807.178333	8	< 0.1%
961.1533333	8	< 0.1%
5868.18	8	< 0.1%
1572.2625	8	< 0.1%
11104.69333	8	< 0.1%
Other values (3312)	19265	99.5%

Value	Count	Frequency (%)
332.1283333	5	< 0.1%
368.3741667	2	< 0.1%
396.3441667	7	< 0.1%
403.2541667	6	< 0.1%
406.5733333	7	< 0.1%
428.9241667	4	< 0.1%
431.73625	7	< 0.1%
434.6083333	7	< 0.1%
440.0408799	1	< 0.1%
447.4975	7	< 0.1%

Value	Count	Frequency (%)
15115.19	2	< 0.1%
15090.07667	6	< 0.1%
14978.33667	7	< 0.1%
14960.25	7	< 0.1%
14958.33667	2	< 0.1%
14929.54	7	< 0.1%
14880.38333	7	< 0.1%
14867.81333	7	< 0.1%
14862.28333	3	< 0.1%
14856.48333	7	< 0.1%

Num_Tarjetas_Credito
Real number (ℝ)

High correlation

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.9387818

Minimum	0
Maximum	10
Zeros	6
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	5
Q3	6
95-th percentile	7
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.773325
Coefficient of variation (CV)	0.35906121
Kurtosis	-0.060390999
Mean	4.9387818
Median Absolute Deviation (MAD)	1
Skewness	0.18308625
Sum	95600
Variance	3.1446816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5	3809	19.7%
4	3725	19.2%
3	3416	17.6%
7	3383	17.5%
6	3164	16.3%
2	538	2.8%
1	527	2.7%
9	285	1.5%
10	271	1.4%
8	233	1.2%

Value	Count	Frequency (%)
0	6	< 0.1%
1	527	2.7%
2	538	2.8%
3	3416	17.6%
4	3725	19.2%
5	3809	19.7%
6	3164	16.3%
7	3383	17.5%
8	233	1.2%
9	285	1.5%

Value	Count	Frequency (%)
10	271	1.4%
9	285	1.5%
8	233	1.2%
7	3383	17.5%
6	3164	16.3%
5	3809	19.7%
4	3725	19.2%
3	3416	17.6%
2	538	2.8%
1	527	2.7%

Tasa_Interes
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.025624

Minimum	1
Maximum	34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	10
Q3	15
95-th percentile	25
Maximum	34
Range	33
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.9246725
Coefficient of variation (CV)	0.62805268
Kurtosis	0.90727853
Mean	11.025624
Median Absolute Deviation (MAD)	4
Skewness	0.97471212
Sum	213423
Variance	47.95109
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
5	1298	6.7%
6	1297	6.7%
12	1296	6.7%
8	1273	6.6%
7	1263	6.5%
10	1200	6.2%
11	1163	6.0%
9	1146	5.9%
3	812	4.2%
1	748	3.9%
Other values (24)	7861	40.6%

Value	Count	Frequency (%)
1	748	3.9%
2	710	3.7%
3	812	4.2%
4	727	3.8%
5	1298	6.7%
6	1297	6.7%
7	1263	6.5%
8	1273	6.6%
9	1146	5.9%
10	1200	6.2%

Value	Count	Frequency (%)
34	98	0.5%
33	99	0.5%
32	108	0.6%
31	137	0.7%
30	76	0.4%
29	92	0.5%
28	137	0.7%
27	85	0.4%
26	89	0.5%
25	76	0.4%

Retraso_Pago
Real number (ℝ)

High correlation Zeros

Distinct	63
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.021801

Minimum	0
Maximum	62
Zeros	330
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	14
Q3	23
95-th percentile	34
Maximum	62
Range	62
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.11402
Coefficient of variation (CV)	0.69368104
Kurtosis	2.5509176
Mean	16.021801
Median Absolute Deviation (MAD)	7
Skewness	1.3257482
Sum	310134
Variance	123.52143
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	862	4.5%
14	830	4.3%
11	828	4.3%
5	819	4.2%
13	817	4.2%
15	810	4.2%
7	810	4.2%
8	809	4.2%
12	792	4.1%
10	787	4.1%
Other values (53)	11193	57.8%

Value	Count	Frequency (%)
0	330	1.7%
1	403	2.1%
2	364	1.9%
3	477	2.5%
4	499	2.6%
5	819	4.2%
6	772	4.0%
7	810	4.2%
8	809	4.2%
9	862	4.5%

Value	Count	Frequency (%)
62	35	0.2%
61	33	0.2%
60	45	0.2%
59	23	0.1%
58	33	0.2%
57	36	0.2%
56	24	0.1%
55	38	0.2%
54	25	0.1%
53	29	0.1%

Num_Pagos_Retrasados
Real number (ℝ)

High correlation Zeros

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.450586

Minimum	0
Maximum	25
Zeros	519
Zeros (%)	2.7%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	8
median	11
Q3	16
95-th percentile	20
Maximum	25
Range	25
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.8443685
Coefficient of variation (CV)	0.51039906
Kurtosis	-0.72954847
Mean	11.450586
Median Absolute Deviation (MAD)	4
Skewness	-0.068149551
Sum	221649
Variance	34.156643
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
10	1386	7.2%
12	1338	6.9%
9	1267	6.5%
8	1237	6.4%
11	1122	5.8%
19	997	5.2%
13	991	5.1%
14	978	5.1%
16	973	5.0%
15	966	5.0%
Other values (16)	8102	41.9%

Value	Count	Frequency (%)
0	519	2.7%
1	618	3.2%
2	529	2.7%
3	562	2.9%
4	544	2.8%
5	674	3.5%
6	594	3.1%
7	679	3.5%
8	1237	6.4%
9	1267	6.5%

Value	Count	Frequency (%)
25	86	0.4%
24	135	0.7%
23	147	0.8%
22	196	1.0%
21	264	1.4%
20	804	4.2%
19	997	5.2%
18	817	4.2%
17	934	4.8%
16	973	5.0%

Cambio_Limite_Credito
Real number (ℝ)

Distinct	2201
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5521827

Minimum	0.5
Maximum	29.85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0.5
5-th percentile	1.3
Q1	4.5
median	8.2
Q3	11.51
95-th percentile	18.2
Maximum	29.85
Range	29.35
Interquartile range (IQR)	7.01

Descriptive statistics

Standard deviation	5.0875588
Coefficient of variation (CV)	0.59488426
Kurtosis	-0.088569548
Mean	8.5521827
Median Absolute Deviation (MAD)	3.48
Skewness	0.5630988
Sum	165544.6
Variance	25.883255
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.69	58	0.3%
11.5	54	0.3%
4.72	48	0.2%
11.49	44	0.2%
1.51	40	0.2%
4.29	39	0.2%
5.08	37	0.2%
3.66	37	0.2%
11.66	36	0.2%
9.32	36	0.2%
Other values (2191)	18928	97.8%

Value	Count	Frequency (%)
0.5	17	0.1%
0.51	15	0.1%
0.52	2	< 0.1%
0.52	17	0.1%
0.53	17	0.1%
0.54	13	0.1%
0.55	2	< 0.1%
0.55	7	< 0.1%
0.56	6	< 0.1%
0.57	24	0.1%

Value	Count	Frequency (%)
29.85	2	< 0.1%
29.2	1	< 0.1%
28.45	2	< 0.1%
28.04	5	< 0.1%
27.7	6	< 0.1%
27.45	1	< 0.1%
27.15	1	< 0.1%
26.62	1	< 0.1%
26.16	6	< 0.1%
26.12	1	< 0.1%

Num_Consultas_Credito
Real number (ℝ)

High correlation Zeros

Distinct	18
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0858088

Minimum	0
Maximum	17
Zeros	2310
Zeros (%)	11.9%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	17
Range	17
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.2233974
Coefficient of variation (CV)	0.78892518
Kurtosis	0.56465987
Mean	4.0858088
Median Absolute Deviation (MAD)	2
Skewness	0.92106159
Sum	79089
Variance	10.390291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
4	3081	15.9%
3	2604	13.5%
2	2410	12.5%
0	2310	11.9%
1	2232	11.5%
7	1255	6.5%
6	1233	6.4%
5	1231	6.4%
8	1037	5.4%
9	597	3.1%
Other values (8)	1367	7.1%

Value	Count	Frequency (%)
0	2310	11.9%
1	2232	11.5%
2	2410	12.5%
3	2604	13.5%
4	3081	15.9%
5	1231	6.4%
6	1233	6.4%
7	1255	6.5%
8	1037	5.4%
9	597	3.1%

Value	Count	Frequency (%)
17	17	0.1%
16	34	0.2%
15	50	0.3%
14	73	0.4%
13	88	0.5%
12	364	1.9%
11	367	1.9%
10	374	1.9%
9	597	3.1%
8	1037	5.4%

Deuda_Pendiente
Real number (ℝ)

High correlation

Distinct	3128
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	904.90999

Minimum	0.54
Maximum	4921.57
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0.54
5-th percentile	85.31
Q1	415.77
median	843.36
Q3	1262.12
95-th percentile	2187.636
Maximum	4921.57
Range	4921.03
Interquartile range (IQR)	846.35

Descriptive statistics

Standard deviation	643.33122
Coefficient of variation (CV)	0.71093394
Kurtosis	4.0864261
Mean	904.90999
Median Absolute Deviation (MAD)	422.47
Skewness	1.3975121
Sum	17516343
Variance	413875.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
544.02	15	0.1%
6.41	15	0.1%
1217.99	15	0.1%
1223	14	0.1%
982.81	14	0.1%
55.2	14	0.1%
69.84	14	0.1%
1135.31	14	0.1%
904.83	14	0.1%
0.95	14	0.1%
Other values (3118)	19214	99.3%

Value	Count	Frequency (%)
0.54	7	< 0.1%
0.95	14	0.1%
1.2	7	< 0.1%
1.23	6	< 0.1%
1.48	7	< 0.1%
2.43	6	< 0.1%
4.5	6	< 0.1%
5.28	8	< 0.1%
5.67	1	< 0.1%
6.41	15	0.1%

Value	Count	Frequency (%)
4921.57	3	< 0.1%
4919.89	6	< 0.1%
4821.89	5	< 0.1%
4761.49	7	< 0.1%
4760.65	2	< 0.1%
4683.73	1	< 0.1%
4579.44	7	< 0.1%
4570.99	3	< 0.1%
4467.44	3	< 0.1%
4460.12	5	< 0.1%

Edad_Historial_Credito
Real number (ℝ)

High correlation

Distinct	261
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	301.24952

Minimum	144
Maximum	404
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	144
5-th percentile	192
Q1	240
median	311
Q3	360
95-th percentile	392
Maximum	404
Range	260
Interquartile range (IQR)	120

Descriptive statistics

Standard deviation	66.468396
Coefficient of variation (CV)	0.22064233
Kurtosis	-1.1462105
Mean	301.24952
Median Absolute Deviation (MAD)	57
Skewness	-0.28746714
Sum	5831287
Variance	4418.0477
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
352	140	0.7%
383	138	0.7%
394	134	0.7%
346	134	0.7%
347	133	0.7%
395	133	0.7%
363	132	0.7%
374	131	0.7%
358	130	0.7%
377	130	0.7%
Other values (251)	18022	93.1%

Value	Count	Frequency (%)
144	4	< 0.1%
145	4	< 0.1%
146	7	< 0.1%
147	3	< 0.1%
148	6	< 0.1%
149	4	< 0.1%
150	8	< 0.1%
151	10	0.1%
152	14	0.1%
153	12	0.1%

Value	Count	Frequency (%)
404	6	< 0.1%
403	8	< 0.1%
402	25	0.1%
401	44	0.2%
400	74	0.4%
399	92	0.5%
398	96	0.5%
397	97	0.5%
396	115	0.6%
395	133	0.7%

Total_Cuota_Mensual
Real number (ℝ)

High correlation

Distinct	3335
Distinct (%)	17.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	111.68614

Minimum	4.8656897
Maximum	1724
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	4.8656897
5-th percentile	13.783563
Q1	35.490955
median	71.198704
Q3	150.12778
95-th percentile	315.89704
Maximum	1724
Range	1719.1343
Interquartile range (IQR)	114.63682

Descriptive statistics

Standard deviation	129.15786
Coefficient of variation (CV)	1.1564359
Kurtosis	32.045591
Mean	111.68614
Median Absolute Deviation (MAD)	44.452003
Skewness	4.3481483
Sum	2161908.5
Variance	16681.753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75.72074705	8	< 0.1%
105.7173158	8	< 0.1%
37.78886657	8	< 0.1%
134.5816707	8	< 0.1%
172.3465509	8	< 0.1%
9.742872376	8	< 0.1%
391.6293696	8	< 0.1%
251.7271912	8	< 0.1%
158.3709313	8	< 0.1%
49.67208144	8	< 0.1%
Other values (3325)	19277	99.6%

Value	Count	Frequency (%)
4.865689677	6	< 0.1%
5.262291048	6	< 0.1%
5.351086151	6	< 0.1%
5.463308978	6	< 0.1%
5.629824417	6	< 0.1%
5.76627588	7	< 0.1%
5.994046459	7	< 0.1%
5.994895587	8	< 0.1%
6.047450347	7	< 0.1%
6.412118995	5	< 0.1%

Value	Count	Frequency (%)
1724	1	< 0.1%
1582.324556	5	< 0.1%
1568.862242	4	< 0.1%
1536.725925	5	< 0.1%
1469	1	< 0.1%
1466.973964	1	< 0.1%
1435.127574	3	< 0.1%
1320.549063	4	< 0.1%
1278.186251	3	< 0.1%
1245.569803	3	< 0.1%

Inversion_Mensual
Real number (ℝ)

High correlation Zeros

Distinct	3126
Distinct (%)	16.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.017931

Minimum	0
Maximum	434.19109
Zeros	196
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0
5-th percentile	15.759102
Q1	31.161401
median	50.06596
Q3	81.184447
95-th percentile	147.47247
Maximum	434.19109
Range	434.19109
Interquartile range (IQR)	50.023047

Descriptive statistics

Standard deviation	43.27048
Coefficient of variation (CV)	0.69770919
Kurtosis	4.0595015
Mean	62.017931
Median Absolute Deviation (MAD)	22.68104
Skewness	1.6134308
Sum	1200481.1
Variance	1872.3345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	196	1.0%
79.59342555	8	< 0.1%
48.58888904	8	< 0.1%
49.25139247	8	< 0.1%
81.07835188	8	< 0.1%
44.73597007	8	< 0.1%
39.58827438	8	< 0.1%
26.40883435	8	< 0.1%
75.40914763	8	< 0.1%
13.29077355	8	< 0.1%
Other values (3116)	19089	98.6%

Value	Count	Frequency (%)
0	196	1.0%
10.02534446	7	< 0.1%
10.05105695	7	< 0.1%
10.07193677	7	< 0.1%
10.22647426	6	< 0.1%
10.28340438	5	< 0.1%
10.31583837	7	< 0.1%
10.35874106	5	< 0.1%
10.41187622	6	< 0.1%
10.51830213	7	< 0.1%

Value	Count	Frequency (%)
434.1910894	6	< 0.1%
297.0646696	6	< 0.1%
295.9554859	3	< 0.1%
270.9726666	7	< 0.1%
262.4833024	5	< 0.1%
251.6624418	7	< 0.1%
251.5353347	4	< 0.1%
248.7162254	6	< 0.1%
246.1208399	7	< 0.1%
244.274694	5	< 0.1%

Saldo_Mensual
Real number (ℝ)

High correlation

Distinct	19102
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	426.56119

Minimum	0.088627865
Maximum	1183.9307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0.088627865
5-th percentile	171.83619
Q1	285.29913
median	364.66323
Q3	523.08365
95-th percentile	871.81315
Maximum	1183.9307
Range	1183.8421
Interquartile range (IQR)	237.78452

Descriptive statistics

Standard deviation	213.15752
Coefficient of variation (CV)	0.49971149
Kurtosis	0.92819349
Mean	426.56119
Median Absolute Deviation (MAD)	100.10422
Skewness	1.0901359
Sum	8256944.9
Variance	45436.13
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1183.930696	7	< 0.1%
61.73602238	6	< 0.1%
232.9437651	6	< 0.1%
232.218042	6	< 0.1%
295.2741058	5	< 0.1%
281.2076157	5	< 0.1%
54.88115252	5	< 0.1%
100.9769134	5	< 0.1%
319.5728862	5	< 0.1%
409.3431502	5	< 0.1%
Other values (19092)	19302	99.7%

Value	Count	Frequency (%)
0.08862786535	1	< 0.1%
0.688298779	4	< 0.1%
0.9081458437	3	< 0.1%
1.325801602	1	< 0.1%
1.446074455	1	< 0.1%
1.987138164	2	< 0.1%
2.85478859	1	< 0.1%
3.357138107	1	< 0.1%
3.851841184	2	< 0.1%
4.388830932	1	< 0.1%

Value	Count	Frequency (%)
1183.930696	7	< 0.1%
1182.121691	1	< 0.1%
1182.007057	1	< 0.1%
1181.432931	1	< 0.1%
1181.293909	1	< 0.1%
1178.445869	1	< 0.1%
1177.852121	1	< 0.1%
1176.35584	1	< 0.1%
1173.611002	1	< 0.1%
1172.870098	1	< 0.1%

Comportamiento_de_Pago_High_spent_Large_value_payments
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	16145
1.0	3212

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	16145	83.4%
1.0	3212	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	16145	83.4%
1.0	3212	16.6%

Most occurring characters

Value	Count	Frequency (%)
0	35502	61.1%
.	19357	33.3%
1	3212	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	35502	61.1%
.	19357	33.3%
1	3212	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	35502	61.1%
.	19357	33.3%
1	3212	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	35502	61.1%
.	19357	33.3%
1	3212	5.5%

Comportamiento_de_Pago_High_spent_Medium_value_payments
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	15475
1.0	3882

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	15475	79.9%
1.0	3882	20.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	15475	79.9%
1.0	3882	20.1%

Most occurring characters

Value	Count	Frequency (%)
0	34832	60.0%
.	19357	33.3%
1	3882	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	34832	60.0%
.	19357	33.3%
1	3882	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	34832	60.0%
.	19357	33.3%
1	3882	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	34832	60.0%
.	19357	33.3%
1	3882	6.7%

Comportamiento_de_Pago_High_spent_Small_value_payments
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	17060
1.0	2297

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	17060	88.1%
1.0	2297	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17060	88.1%
1.0	2297	11.9%

Most occurring characters

Value	Count	Frequency (%)
0	36417	62.7%
.	19357	33.3%
1	2297	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	36417	62.7%
.	19357	33.3%
1	2297	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	36417	62.7%
.	19357	33.3%
1	2297	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	36417	62.7%
.	19357	33.3%
1	2297	4.0%

Comportamiento_de_Pago_Low_spent_Large_value_payments
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	17237
1.0	2120

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	17237	89.0%
1.0	2120	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17237	89.0%
1.0	2120	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	36594	63.0%
.	19357	33.3%
1	2120	3.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	36594	63.0%
.	19357	33.3%
1	2120	3.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	36594	63.0%
.	19357	33.3%
1	2120	3.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	36594	63.0%
.	19357	33.3%
1	2120	3.7%

Comportamiento_de_Pago_Low_spent_Medium_value_payments
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	16524
1.0	2833

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	16524	85.4%
1.0	2833	14.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	16524	85.4%
1.0	2833	14.6%

Most occurring characters

Value	Count	Frequency (%)
0	35881	61.8%
.	19357	33.3%
1	2833	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	35881	61.8%
.	19357	33.3%
1	2833	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	35881	61.8%
.	19357	33.3%
1	2833	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	35881	61.8%
.	19357	33.3%
1	2833	4.9%

Comportamiento_de_Pago_Low_spent_Small_value_payments
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	14344
1.0	5013

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14344	74.1%
1.0	5013	25.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14344	74.1%
1.0	5013	25.9%

Most occurring characters

Value	Count	Frequency (%)
0	33701	58.0%
.	19357	33.3%
1	5013	8.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	33701	58.0%
.	19357	33.3%
1	5013	8.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	33701	58.0%
.	19357	33.3%
1	5013	8.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	33701	58.0%
.	19357	33.3%
1	5013	8.6%

Mezcla_Crediticia_Bad
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18206
1.0	1151

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18206	94.1%
1.0	1151	5.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18206	94.1%
1.0	1151	5.9%

Most occurring characters

Value	Count	Frequency (%)
0	37563	64.7%
.	19357	33.3%
1	1151	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37563	64.7%
.	19357	33.3%
1	1151	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37563	64.7%
.	19357	33.3%
1	1151	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37563	64.7%
.	19357	33.3%
1	1151	2.0%

Mezcla_Crediticia_Good
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	11014
1.0	8343

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	11014	56.9%
1.0	8343	43.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	11014	56.9%
1.0	8343	43.1%

Most occurring characters

Value	Count	Frequency (%)
0	30371	52.3%
.	19357	33.3%
1	8343	14.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	30371	52.3%
.	19357	33.3%
1	8343	14.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	30371	52.3%
.	19357	33.3%
1	8343	14.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	30371	52.3%
.	19357	33.3%
1	8343	14.4%

Mezcla_Crediticia_Standard
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

1.0	9863
0.0	9494

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	9863	51.0%
0.0	9494	49.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	9863	51.0%
0.0	9494	49.0%

Most occurring characters

Value	Count	Frequency (%)
0	28851	49.7%
.	19357	33.3%
1	9863	17.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	28851	49.7%
.	19357	33.3%
1	9863	17.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	28851	49.7%
.	19357	33.3%
1	9863	17.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	28851	49.7%
.	19357	33.3%
1	9863	17.0%

Pago_Minimo_No
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

1.0	10180
0.0	9177

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	10180	52.6%
0.0	9177	47.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	10180	52.6%
0.0	9177	47.4%

Most occurring characters

Value	Count	Frequency (%)
0	28534	49.1%
.	19357	33.3%
1	10180	17.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	28534	49.1%
.	19357	33.3%
1	10180	17.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	28534	49.1%
.	19357	33.3%
1	10180	17.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	28534	49.1%
.	19357	33.3%
1	10180	17.5%

Pago_Minimo_Yes
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	12601
1.0	6756

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	12601	65.1%
1.0	6756	34.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	12601	65.1%
1.0	6756	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	31958	55.0%
.	19357	33.3%
1	6756	11.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	31958	55.0%
.	19357	33.3%
1	6756	11.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	31958	55.0%
.	19357	33.3%
1	6756	11.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	31958	55.0%
.	19357	33.3%
1	6756	11.6%

Ocupacion_Architect
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	17810
1.0	1547

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	17810	92.0%
1.0	1547	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17810	92.0%
1.0	1547	8.0%

Most occurring characters

Value	Count	Frequency (%)
0	37167	64.0%
.	19357	33.3%
1	1547	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37167	64.0%
.	19357	33.3%
1	1547	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37167	64.0%
.	19357	33.3%
1	1547	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37167	64.0%
.	19357	33.3%
1	1547	2.7%

Ocupacion_Developer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18159
1.0	1198

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18159	93.8%
1.0	1198	6.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18159	93.8%
1.0	1198	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	37516	64.6%
.	19357	33.3%
1	1198	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37516	64.6%
.	19357	33.3%
1	1198	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37516	64.6%
.	19357	33.3%
1	1198	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37516	64.6%
.	19357	33.3%
1	1198	2.1%

Ocupacion_Doctor
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18041
1.0	1316

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18041	93.2%
1.0	1316	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18041	93.2%
1.0	1316	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	37398	64.4%
.	19357	33.3%
1	1316	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37398	64.4%
.	19357	33.3%
1	1316	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37398	64.4%
.	19357	33.3%
1	1316	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37398	64.4%
.	19357	33.3%
1	1316	2.3%

Ocupacion_Engineer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18020
1.0	1337

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18020	93.1%
1.0	1337	6.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18020	93.1%
1.0	1337	6.9%

Most occurring characters

Value	Count	Frequency (%)
0	37377	64.4%
.	19357	33.3%
1	1337	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37377	64.4%
.	19357	33.3%
1	1337	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37377	64.4%
.	19357	33.3%
1	1337	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37377	64.4%
.	19357	33.3%
1	1337	2.3%

Ocupacion_Entrepreneur
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18059
1.0	1298

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18059	93.3%
1.0	1298	6.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18059	93.3%
1.0	1298	6.7%

Most occurring characters

Value	Count	Frequency (%)
0	37416	64.4%
.	19357	33.3%
1	1298	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37416	64.4%
.	19357	33.3%
1	1298	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37416	64.4%
.	19357	33.3%
1	1298	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37416	64.4%
.	19357	33.3%
1	1298	2.2%

Ocupacion_Journalist
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18202
1.0	1155

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18202	94.0%
1.0	1155	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18202	94.0%
1.0	1155	6.0%

Most occurring characters

Value	Count	Frequency (%)
0	37559	64.7%
.	19357	33.3%
1	1155	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37559	64.7%
.	19357	33.3%
1	1155	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37559	64.7%
.	19357	33.3%
1	1155	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37559	64.7%
.	19357	33.3%
1	1155	2.0%

Ocupacion_Lawyer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18042
1.0	1315

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18042	93.2%
1.0	1315	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18042	93.2%
1.0	1315	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	37399	64.4%
.	19357	33.3%
1	1315	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37399	64.4%
.	19357	33.3%
1	1315	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37399	64.4%
.	19357	33.3%
1	1315	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37399	64.4%
.	19357	33.3%
1	1315	2.3%

Ocupacion_Manager
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	17998
1.0	1359

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	17998	93.0%
1.0	1359	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17998	93.0%
1.0	1359	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	37355	64.3%
.	19357	33.3%
1	1359	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37355	64.3%
.	19357	33.3%
1	1359	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37355	64.3%
.	19357	33.3%
1	1359	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37355	64.3%
.	19357	33.3%
1	1359	2.3%

Ocupacion_Mechanic
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18077
1.0	1280

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	18077	93.4%
1.0	1280	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18077	93.4%
1.0	1280	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	37434	64.5%
.	19357	33.3%
1	1280	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37434	64.5%
.	19357	33.3%
1	1280	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37434	64.5%
.	19357	33.3%
1	1280	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37434	64.5%
.	19357	33.3%
1	1280	2.2%

Ocupacion_Media_Manager
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18021
1.0	1336

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18021	93.1%
1.0	1336	6.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18021	93.1%
1.0	1336	6.9%

Most occurring characters

Value	Count	Frequency (%)
0	37378	64.4%
.	19357	33.3%
1	1336	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37378	64.4%
.	19357	33.3%
1	1336	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37378	64.4%
.	19357	33.3%
1	1336	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37378	64.4%
.	19357	33.3%
1	1336	2.3%

Ocupacion_Musician
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18123
1.0	1234

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18123	93.6%
1.0	1234	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18123	93.6%
1.0	1234	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	37480	64.5%
.	19357	33.3%
1	1234	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37480	64.5%
.	19357	33.3%
1	1234	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37480	64.5%
.	19357	33.3%
1	1234	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37480	64.5%
.	19357	33.3%
1	1234	2.1%

Ocupacion_Scientist
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18036
1.0	1321

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18036	93.2%
1.0	1321	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18036	93.2%
1.0	1321	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	37393	64.4%
.	19357	33.3%
1	1321	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37393	64.4%
.	19357	33.3%
1	1321	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37393	64.4%
.	19357	33.3%
1	1321	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37393	64.4%
.	19357	33.3%
1	1321	2.3%

Ocupacion_Teacher
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18114
1.0	1243

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18114	93.6%
1.0	1243	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18114	93.6%
1.0	1243	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	37471	64.5%
.	19357	33.3%
1	1243	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37471	64.5%
.	19357	33.3%
1	1243	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37471	64.5%
.	19357	33.3%
1	1243	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37471	64.5%
.	19357	33.3%
1	1243	2.1%

Ocupacion_Writer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.1 KiB

0.0	18106
1.0	1251

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	58071
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18106	93.5%
1.0	1251	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18106	93.5%
1.0	1251	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	37463	64.5%
.	19357	33.3%
1	1251	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	37463	64.5%
.	19357	33.3%
1	1251	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	37463	64.5%
.	19357	33.3%
1	1251	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	37463	64.5%
.	19357	33.3%
1	1251	2.2%

debt_to_income
Real number (ℝ)

High correlation

Distinct	3325
Distinct (%)	17.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.37005007

Minimum	4.9871489 × 10^-5
Maximum	11.152845
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	4.9871489 × 10^-5
5-th percentile	0.017496364
Q1	0.079617583
median	0.18293404
Q3	0.43585623
95-th percentile	1.2928915
Maximum	11.152845
Range	11.152795
Interquartile range (IQR)	0.35623864

Descriptive statistics

Standard deviation	0.56362105
Coefficient of variation (CV)	1.523094
Kurtosis	36.795294
Mean	0.37005007
Median Absolute Deviation (MAD)	0.13195595
Skewness	4.633825
Sum	7163.0592
Variance	0.31766868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.236389615	8	< 0.1%
0.06901785204	8	< 0.1%
0.07846725901	8	< 0.1%
1.441540455	8	< 0.1%
0.1230158049	8	< 0.1%
0.3674622622	8	< 0.1%
0.061869603	8	< 0.1%
0.04971208486	8	< 0.1%
0.01034112313	8	< 0.1%
0.03704596491	8	< 0.1%
Other values (3315)	19277	99.6%

Value	Count	Frequency (%)
4.987148856 × 10^-5	7	< 0.1%
0.0001883884009	1	< 0.1%
0.0001953079131	6	< 0.1%
0.0002715908793	7	< 0.1%
0.0003473972946	7	< 0.1%
0.0006114719294	8	< 0.1%
0.0006440133375	6	< 0.1%
0.0007346131246	8	< 0.1%
0.0008134705819	6	< 0.1%
0.0008967503641	4	< 0.1%

Value	Count	Frequency (%)
11.15284505	2	< 0.1%
6.346431968	7	< 0.1%
6.337295238	7	< 0.1%
6.014723224	5	< 0.1%
4.824395921	4	< 0.1%
4.539369419	7	< 0.1%
4.329946792	3	< 0.1%
4.29738895	6	< 0.1%
4.281695926	2	< 0.1%
4.188944068	7	< 0.1%

payment_to_income
Real number (ℝ)

High correlation

Distinct	3402
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.02464369

Minimum	0.004429483
Maximum	1.0653665
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	0.004429483
5-th percentile	0.0061684968
Q1	0.011924293
median	0.02014047
Q3	0.029539547
95-th percentile	0.057058952
Maximum	1.0653665
Range	1.060937
Interquartile range (IQR)	0.017615254

Descriptive statistics

Standard deviation	0.023723659
Coefficient of variation (CV)	0.96266668
Kurtosis	322.7468
Mean	0.02464369
Median Absolute Deviation (MAD)	0.0087997586
Skewness	10.524339
Sum	477.02791
Variance	0.00056281201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.009520057205	8	< 0.1%
0.01527157579	8	< 0.1%
0.01632610305	8	< 0.1%
0.06664265829	8	< 0.1%
0.03453949641	8	< 0.1%
0.01295216434	8	< 0.1%
0.02435600772	8	< 0.1%
0.01871944803	8	< 0.1%
0.02066664657	8	< 0.1%
0.02628499932	8	< 0.1%
Other values (3392)	19277	99.6%

Value	Count	Frequency (%)
0.004429482961	4	< 0.1%
0.004543692842	1	< 0.1%
0.004553168148	7	< 0.1%
0.004732171077	4	< 0.1%
0.004783509326	5	< 0.1%
0.004812806587	6	< 0.1%
0.004819616393	7	< 0.1%
0.004821449807	8	< 0.1%
0.004868627082	6	< 0.1%
0.004873816902	7	< 0.1%

Value	Count	Frequency (%)
1.065366475	1	< 0.1%
0.8851275282	1	< 0.1%
0.5897494401	1	< 0.1%
0.588629435	1	< 0.1%
0.2130295301	5	< 0.1%
0.19683311	4	< 0.1%
0.183457187	6	< 0.1%
0.1818974756	4	< 0.1%
0.180014243	2	< 0.1%
0.1749280965	3	< 0.1%

credit_history_ratio
Real number (ℝ)

High correlation

Distinct	3314
Distinct (%)	17.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.314803

Minimum	8
Maximum	21.944444
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	151.4 KiB

Quantile statistics

Minimum	8
5-th percentile	8.1666667
Q1	9.0571429
median	10.484848
Q3	12.782609
95-th percentile	17.316268
Maximum	21.944444
Range	13.944444
Interquartile range (IQR)	3.7254658

Descriptive statistics

Standard deviation	2.9106932
Coefficient of variation (CV)	0.25724649
Kurtosis	0.93067781
Mean	11.314803
Median Absolute Deviation (MAD)	1.6792929
Skewness	1.1886859
Sum	219020.63
Variance	8.472135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	185	1.0%
9	131	0.7%
10	119	0.6%
11	87	0.4%
8.5	80	0.4%
9.5	66	0.3%
12	65	0.3%
10.5	61	0.3%
8.333333333	55	0.3%
13	50	0.3%
Other values (3304)	18458	95.4%

Value	Count	Frequency (%)
8	185	1.0%
8.02	3	< 0.1%
8.020408163	5	< 0.1%
8.020833333	5	< 0.1%
8.021276596	5	< 0.1%
8.02173913	3	< 0.1%
8.022222222	3	< 0.1%
8.022727273	1	< 0.1%
8.023255814	2	< 0.1%
8.023809524	1	< 0.1%

Value	Count	Frequency (%)
21.94444444	3	< 0.1%
21.88888889	4	< 0.1%
21.83333333	4	< 0.1%
21.77777778	8	< 0.1%
21.72222222	5	< 0.1%
21.66666667	6	< 0.1%
21.61111111	8	< 0.1%
21.55555556	7	< 0.1%
21.5	6	< 0.1%
21.44444444	7	< 0.1%

Interactions

Correlations

	Cambio_Limite_Credito	Comportamiento_de_Pago_High_spent_Large_value_payments	Comportamiento_de_Pago_High_spent_Medium_value_payments	Comportamiento_de_Pago_High_spent_Small_value_payments	Comportamiento_de_Pago_Low_spent_Large_value_payments	Comportamiento_de_Pago_Low_spent_Medium_value_payments	Comportamiento_de_Pago_Low_spent_Small_value_payments	Deuda_Pendiente	Edad	Edad_Historial_Credito	Inversion_Mensual	Mezcla_Crediticia_Bad	Mezcla_Crediticia_Good	Mezcla_Crediticia_Standard	Num_Consultas_Credito	Num_Pagos_Retrasados	Num_Tarjetas_Credito	Ocupacion_Architect	Ocupacion_Developer	Ocupacion_Doctor	Ocupacion_Engineer	Ocupacion_Entrepreneur	Ocupacion_Journalist	Ocupacion_Lawyer	Ocupacion_Manager	Ocupacion_Mechanic	Ocupacion_Media_Manager	Ocupacion_Musician	Ocupacion_Scientist	Ocupacion_Teacher	Ocupacion_Writer	Pago_Minimo_No	Pago_Minimo_Yes	Retraso_Pago	Salario_Mensual	Saldo_Mensual	Tasa_Interes	Total_Cuota_Mensual	credit_history_ratio	debt_to_income	payment_to_income
Cambio_Limite_Credito	1.000	0.028	0.017	0.000	0.000	0.021	0.028	0.072	-0.117	-0.151	-0.077	0.191	0.393	0.396	0.251	0.190	0.078	0.020	0.026	0.030	0.070	0.038	0.047	0.026	0.037	0.049	0.036	0.044	0.032	0.026	0.046	0.470	0.491	0.141	-0.092	-0.054	0.228	-0.041	-0.037	0.098	0.057
Comportamiento_de_Pago_High_spent_Large_value_payments	0.028	1.000	0.223	0.163	0.156	0.184	0.263	0.038	0.024	0.030	0.157	0.033	0.048	0.031	0.032	0.040	0.031	0.000	0.000	0.000	0.000	0.009	0.009	0.000	0.000	0.011	0.000	0.000	0.000	0.012	0.003	0.045	0.035	0.038	0.269	0.429	0.045	0.158	0.030	0.080	0.000
Comportamiento_de_Pago_High_spent_Medium_value_payments	0.017	0.223	1.000	0.183	0.175	0.207	0.296	0.021	0.015	0.016	0.065	0.028	0.017	0.000	0.011	0.029	0.021	0.012	0.000	0.000	0.000	0.000	0.007	0.000	0.010	0.000	0.000	0.000	0.000	0.005	0.000	0.014	0.021	0.027	0.185	0.293	0.025	0.029	0.011	0.088	0.000
Comportamiento_de_Pago_High_spent_Small_value_payments	0.000	0.163	0.183	1.000	0.128	0.152	0.217	0.011	0.012	0.000	0.019	0.000	0.000	0.000	0.000	0.014	0.000	0.007	0.000	0.000	0.003	0.000	0.008	0.000	0.000	0.006	0.005	0.003	0.005	0.006	0.004	0.000	0.000	0.000	0.067	0.127	0.008	0.016	0.014	0.029	0.010
Comportamiento_de_Pago_Low_spent_Large_value_payments	0.000	0.156	0.175	0.128	1.000	0.145	0.207	0.000	0.000	0.000	0.026	0.000	0.005	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.006	0.011	0.071	0.131	0.000	0.028	0.000	0.012	0.000
Comportamiento_de_Pago_Low_spent_Medium_value_payments	0.021	0.184	0.207	0.152	0.145	1.000	0.245	0.002	0.008	0.018	0.092	0.000	0.015	0.015	0.017	0.015	0.017	0.011	0.000	0.000	0.000	0.006	0.000	0.000	0.000	0.005	0.000	0.000	0.005	0.000	0.000	0.009	0.010	0.000	0.136	0.120	0.000	0.050	0.022	0.000	0.000
Comportamiento_de_Pago_Low_spent_Small_value_payments	0.028	0.263	0.296	0.217	0.207	0.245	1.000	0.073	0.027	0.060	0.217	0.052	0.066	0.040	0.067	0.076	0.061	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.014	0.012	0.006	0.000	0.000	0.000	0.055	0.058	0.065	0.338	0.444	0.070	0.149	0.026	0.164	0.011
Deuda_Pendiente	0.072	0.038	0.021	0.011	0.000	0.002	0.073	1.000	-0.156	-0.236	-0.087	0.637	0.273	0.090	0.282	0.184	0.194	0.054	0.077	0.024	0.071	0.033	0.038	0.024	0.043	0.058	0.059	0.051	0.041	0.049	0.045	0.334	0.357	0.227	-0.105	-0.102	0.268	0.013	-0.124	0.744	0.150
Edad	-0.117	0.024	0.015	0.012	0.000	0.008	0.027	-0.156	1.000	0.529	0.068	0.223	0.126	0.050	-0.221	-0.124	-0.089	0.032	0.059	0.069	0.063	0.042	0.031	0.055	0.052	0.038	0.043	0.037	0.057	0.065	0.056	0.169	0.184	-0.108	0.085	0.098	-0.152	-0.029	-0.523	-0.147	-0.146
Edad_Historial_Credito	-0.151	0.030	0.016	0.000	0.000	0.018	0.060	-0.236	0.529	1.000	0.111	0.471	0.281	0.105	-0.307	-0.213	-0.161	0.037	0.015	0.029	0.049	0.047	0.056	0.049	0.083	0.078	0.057	0.045	0.036	0.092	0.014	0.329	0.358	-0.183	0.123	0.137	-0.268	-0.048	0.347	-0.216	-0.232
Inversion_Mensual	-0.077	0.157	0.065	0.019	0.026	0.092	0.217	-0.087	0.068	0.111	1.000	0.104	0.191	0.141	-0.119	-0.174	-0.091	0.035	0.042	0.069	0.043	0.065	0.047	0.029	0.018	0.062	0.051	0.074	0.035	0.030	0.025	0.148	0.160	-0.115	0.838	0.454	-0.152	0.621	0.047	-0.582	-0.089
Mezcla_Crediticia_Bad	0.191	0.033	0.028	0.000	0.000	0.000	0.052	0.637	0.223	0.471	0.104	1.000	0.219	0.256	0.508	0.577	0.502	0.023	0.029	0.000	0.000	0.030	0.016	0.000	0.019	0.000	0.013	0.010	0.025	0.029	0.015	0.265	0.283	0.683	0.210	0.173	0.639	0.037	0.159	0.385	0.000
Mezcla_Crediticia_Good	0.393	0.048	0.017	0.000	0.005	0.015	0.066	0.273	0.126	0.281	0.191	0.219	1.000	0.887	0.370	0.672	0.331	0.028	0.000	0.014	0.000	0.031	0.000	0.003	0.000	0.031	0.010	0.012	0.000	0.006	0.039	0.606	0.637	0.472	0.289	0.180	0.629	0.103	0.122	0.202	0.016
Mezcla_Crediticia_Standard	0.396	0.031	0.000	0.000	0.005	0.015	0.040	0.090	0.050	0.105	0.141	0.256	0.887	1.000	0.186	0.589	0.261	0.039	0.019	0.013	0.000	0.015	0.008	0.008	0.004	0.033	0.018	0.003	0.015	0.023	0.047	0.475	0.497	0.397	0.233	0.121	0.524	0.113	0.052	0.044	0.012
Num_Consultas_Credito	0.251	0.032	0.011	0.000	0.000	0.017	0.067	0.282	-0.221	-0.307	-0.119	0.508	0.370	0.186	1.000	0.290	0.212	0.047	0.076	0.023	0.056	0.048	0.056	0.051	0.038	0.026	0.036	0.041	0.042	0.052	0.056	0.441	0.467	0.283	-0.148	-0.129	0.357	0.016	-0.115	0.266	0.210
Num_Pagos_Retrasados	0.190	0.040	0.029	0.014	0.000	0.015	0.076	0.184	-0.124	-0.213	-0.174	0.577	0.672	0.589	0.290	1.000	0.224	0.034	0.022	0.000	0.040	0.017	0.059	0.015	0.037	0.045	0.042	0.026	0.037	0.017	0.039	0.421	0.446	0.441	-0.213	-0.156	0.453	-0.061	-0.107	0.247	0.164
Num_Tarjetas_Credito	0.078	0.031	0.021	0.000	0.000	0.017	0.061	0.194	-0.089	-0.161	-0.091	0.502	0.331	0.261	0.212	0.224	1.000	0.045	0.039	0.049	0.047	0.058	0.044	0.023	0.054	0.037	0.038	0.053	0.035	0.063	0.067	0.270	0.284	0.239	-0.112	-0.101	0.221	0.002	-0.080	0.191	0.145
Ocupacion_Architect	0.020	0.000	0.012	0.007	0.000	0.011	0.000	0.054	0.032	0.037	0.035	0.023	0.028	0.039	0.047	0.034	0.045	1.000	0.075	0.079	0.080	0.078	0.073	0.079	0.080	0.078	0.080	0.076	0.079	0.076	0.077	0.000	0.006	0.043	0.063	0.016	0.034	0.019	0.039	0.039	0.003
Ocupacion_Developer	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.077	0.059	0.015	0.042	0.029	0.000	0.019	0.076	0.022	0.039	0.075	1.000	0.069	0.069	0.068	0.064	0.069	0.070	0.068	0.069	0.066	0.069	0.066	0.067	0.000	0.000	0.068	0.078	0.018	0.059	0.049	0.041	0.051	0.030
Ocupacion_Doctor	0.030	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.069	0.029	0.069	0.000	0.014	0.013	0.023	0.000	0.049	0.079	0.069	1.000	0.073	0.072	0.067	0.072	0.073	0.071	0.073	0.070	0.072	0.070	0.070	0.000	0.007	0.027	0.019	0.000	0.052	0.033	0.060	0.025	0.000
Ocupacion_Engineer	0.070	0.000	0.000	0.003	0.000	0.000	0.000	0.071	0.063	0.049	0.043	0.000	0.000	0.000	0.056	0.040	0.047	0.080	0.069	0.073	1.000	0.072	0.068	0.073	0.074	0.072	0.073	0.070	0.073	0.071	0.071	0.011	0.013	0.034	0.056	0.024	0.052	0.053	0.046	0.027	0.000
Ocupacion_Entrepreneur	0.038	0.009	0.000	0.000	0.000	0.006	0.017	0.033	0.042	0.047	0.065	0.030	0.031	0.015	0.048	0.017	0.058	0.078	0.068	0.072	0.072	1.000	0.067	0.072	0.073	0.071	0.072	0.069	0.072	0.069	0.070	0.025	0.027	0.032	0.057	0.042	0.055	0.057	0.035	0.064	0.024
Ocupacion_Journalist	0.047	0.009	0.007	0.008	0.000	0.000	0.000	0.038	0.031	0.056	0.047	0.016	0.000	0.008	0.056	0.059	0.044	0.073	0.064	0.067	0.068	0.067	1.000	0.067	0.068	0.066	0.068	0.065	0.067	0.065	0.065	0.013	0.021	0.043	0.042	0.021	0.061	0.032	0.041	0.018	0.018
Ocupacion_Lawyer	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.055	0.049	0.029	0.000	0.003	0.008	0.051	0.015	0.023	0.079	0.069	0.072	0.073	0.072	0.067	1.000	0.073	0.071	0.073	0.070	0.072	0.070	0.070	0.021	0.011	0.060	0.058	0.000	0.035	0.009	0.047	0.048	0.000
Ocupacion_Manager	0.037	0.000	0.010	0.000	0.000	0.000	0.000	0.043	0.052	0.083	0.018	0.019	0.000	0.004	0.038	0.037	0.054	0.080	0.070	0.073	0.074	0.073	0.068	0.073	1.000	0.072	0.074	0.071	0.074	0.071	0.071	0.019	0.019	0.031	0.054	0.020	0.055	0.038	0.056	0.045	0.010
Ocupacion_Mechanic	0.049	0.011	0.000	0.006	0.000	0.005	0.014	0.058	0.038	0.078	0.062	0.000	0.031	0.033	0.026	0.045	0.037	0.078	0.068	0.071	0.072	0.071	0.066	0.071	0.072	1.000	0.072	0.069	0.071	0.069	0.069	0.012	0.028	0.036	0.051	0.022	0.049	0.018	0.054	0.028	0.000
Ocupacion_Media_Manager	0.036	0.000	0.000	0.005	0.000	0.000	0.012	0.059	0.043	0.057	0.051	0.013	0.010	0.018	0.036	0.042	0.038	0.080	0.069	0.073	0.073	0.072	0.068	0.073	0.074	0.072	1.000	0.070	0.073	0.071	0.071	0.031	0.024	0.029	0.049	0.000	0.061	0.030	0.041	0.042	0.016
Ocupacion_Musician	0.044	0.000	0.000	0.003	0.000	0.000	0.006	0.051	0.037	0.045	0.074	0.010	0.012	0.003	0.041	0.026	0.053	0.076	0.066	0.070	0.070	0.069	0.065	0.070	0.071	0.069	0.070	1.000	0.070	0.068	0.068	0.015	0.011	0.026	0.037	0.013	0.034	0.009	0.042	0.028	0.000
Ocupacion_Scientist	0.032	0.000	0.000	0.005	0.000	0.005	0.000	0.041	0.057	0.036	0.035	0.025	0.000	0.015	0.042	0.037	0.035	0.079	0.069	0.072	0.073	0.072	0.067	0.072	0.074	0.071	0.073	0.070	1.000	0.070	0.070	0.000	0.008	0.055	0.048	0.018	0.041	0.042	0.051	0.028	0.028
Ocupacion_Teacher	0.026	0.012	0.005	0.006	0.005	0.000	0.000	0.049	0.065	0.092	0.030	0.029	0.006	0.023	0.052	0.017	0.063	0.076	0.066	0.070	0.071	0.069	0.065	0.070	0.071	0.069	0.071	0.068	0.070	1.000	0.068	0.000	0.000	0.045	0.039	0.026	0.035	0.038	0.033	0.041	0.000
Ocupacion_Writer	0.046	0.003	0.000	0.004	0.000	0.000	0.000	0.045	0.056	0.014	0.025	0.015	0.039	0.047	0.056	0.039	0.067	0.077	0.067	0.070	0.071	0.070	0.065	0.070	0.071	0.069	0.071	0.068	0.070	0.068	1.000	0.034	0.025	0.047	0.040	0.022	0.055	0.037	0.038	0.017	0.035
Pago_Minimo_No	0.470	0.045	0.014	0.000	0.000	0.009	0.055	0.334	0.169	0.329	0.148	0.265	0.606	0.475	0.441	0.421	0.270	0.000	0.000	0.000	0.011	0.025	0.013	0.021	0.019	0.012	0.031	0.015	0.000	0.000	0.034	1.000	0.771	0.353	0.219	0.157	0.475	0.060	0.123	0.227	0.000
Pago_Minimo_Yes	0.491	0.035	0.021	0.000	0.006	0.010	0.058	0.357	0.184	0.358	0.160	0.283	0.637	0.497	0.467	0.446	0.284	0.006	0.000	0.007	0.013	0.027	0.021	0.011	0.019	0.028	0.024	0.011	0.008	0.000	0.025	0.771	1.000	0.371	0.228	0.163	0.498	0.058	0.135	0.246	0.009
Retraso_Pago	0.141	0.038	0.027	0.000	0.011	0.000	0.065	0.227	-0.108	-0.183	-0.115	0.683	0.472	0.397	0.283	0.441	0.239	0.043	0.068	0.027	0.034	0.032	0.043	0.060	0.031	0.036	0.029	0.026	0.055	0.045	0.047	0.353	0.371	1.000	-0.161	-0.129	0.375	-0.022	-0.089	0.246	0.161
Salario_Mensual	-0.092	0.269	0.185	0.067	0.071	0.136	0.338	-0.105	0.085	0.123	0.838	0.210	0.289	0.233	-0.148	-0.213	-0.112	0.063	0.078	0.019	0.056	0.057	0.042	0.058	0.054	0.051	0.049	0.037	0.048	0.039	0.040	0.219	0.228	-0.161	1.000	0.573	-0.185	0.733	0.043	-0.692	-0.113
Saldo_Mensual	-0.054	0.429	0.293	0.127	0.131	0.120	0.444	-0.102	0.098	0.137	0.454	0.173	0.180	0.121	-0.129	-0.156	-0.101	0.016	0.018	0.000	0.024	0.042	0.021	0.000	0.020	0.022	0.000	0.013	0.018	0.026	0.022	0.157	0.163	-0.129	0.573	1.000	-0.151	0.287	0.046	-0.424	-0.262
Tasa_Interes	0.228	0.045	0.025	0.008	0.000	0.000	0.070	0.268	-0.152	-0.268	-0.152	0.639	0.629	0.524	0.357	0.453	0.221	0.034	0.059	0.052	0.052	0.055	0.061	0.035	0.055	0.049	0.061	0.034	0.041	0.035	0.055	0.475	0.498	0.375	-0.185	-0.151	1.000	-0.023	-0.137	0.277	0.196
Total_Cuota_Mensual	-0.041	0.158	0.029	0.016	0.028	0.050	0.149	0.013	-0.029	-0.048	0.621	0.037	0.103	0.113	0.016	-0.061	0.002	0.019	0.049	0.033	0.053	0.057	0.032	0.009	0.038	0.018	0.030	0.009	0.042	0.038	0.037	0.060	0.058	-0.022	0.733	0.287	-0.023	1.000	-0.025	-0.452	0.562
credit_history_ratio	-0.037	0.030	0.011	0.014	0.000	0.022	0.026	-0.124	-0.523	0.347	0.047	0.159	0.122	0.052	-0.115	-0.107	-0.080	0.039	0.041	0.060	0.046	0.035	0.041	0.047	0.056	0.054	0.041	0.042	0.051	0.033	0.038	0.123	0.135	-0.089	0.043	0.046	-0.137	-0.025	1.000	-0.100	-0.100
debt_to_income	0.098	0.080	0.088	0.029	0.012	0.000	0.164	0.744	-0.147	-0.216	-0.582	0.385	0.202	0.044	0.266	0.247	0.191	0.039	0.051	0.025	0.027	0.064	0.018	0.048	0.045	0.028	0.042	0.028	0.028	0.041	0.017	0.227	0.246	0.246	-0.692	-0.424	0.277	-0.452	-0.100	1.000	0.158
payment_to_income	0.057	0.000	0.000	0.010	0.000	0.000	0.011	0.150	-0.146	-0.232	-0.089	0.000	0.016	0.012	0.210	0.164	0.145	0.003	0.030	0.000	0.000	0.024	0.018	0.000	0.010	0.000	0.016	0.000	0.028	0.000	0.035	0.000	0.009	0.161	-0.113	-0.262	0.196	0.562	-0.100	0.158	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Edad	Salario_Mensual	Num_Tarjetas_Credito	Tasa_Interes	Retraso_Pago	Num_Pagos_Retrasados	Cambio_Limite_Credito	Num_Consultas_Credito	Deuda_Pendiente	Edad_Historial_Credito	Total_Cuota_Mensual	Inversion_Mensual	Saldo_Mensual	Comportamiento_de_Pago_High_spent_Medium_value_payments	Comportamiento_de_Pago_High_spent_Small_value_payments	Comportamiento_de_Pago_Low_spent_Large_value_payments	Comportamiento_de_Pago_Low_spent_Small_value_payments	Mezcla_Crediticia_Good	Mezcla_Crediticia_Standard	Pago_Minimo_No	Pago_Minimo_Yes	Ocupacion_Architect	Ocupacion_Doctor	Ocupacion_Engineer	Ocupacion_Journalist	Ocupacion_Lawyer	Ocupacion_Mechanic	Ocupacion_Media_Manager	debt_to_income	payment_to_income	credit_history_ratio
0	38.0	4896.556667	5.0	7.0	29.0	16.0	7.37	4.0	1419.99	362.0	131.871482	90.929602	406.762086	1.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.289998	0.026931	9.526316
1	18.0	1003.884583	6.0	8.0	8.0	9.0	11.26	1.0	45.37	222.0	14.724662	20.894529	270.114331	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.045194	0.014668	12.333333
2	19.0	1309.910417	6.0	18.0	7.0	8.0	18.31	6.0	1313.30	238.0	50.091756	38.299870	210.620294	0.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.002588	0.038241	12.526316
3	33.0	2579.805000	1.0	6.0	6.0	5.0	2.42	0.0	301.38	378.0	35.001843	35.365135	363.436801	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.116823	0.013568	11.454545
4	20.0	2209.863333	6.0	24.0	19.0	17.0	23.98	14.0	2059.36	176.0	112.473593	34.885490	232.984405	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.931895	0.050896	8.800000
5	27.0	6882.046667	5.0	11.0	6.0	16.0	16.07	5.0	1210.87	244.0	74.807701	86.033646	695.429290	0.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.175946	0.010870	9.037037
6	43.0	2668.341667	3.0	10.0	6.0	5.0	4.82	1.0	681.09	386.0	19.186561	48.889857	440.275687	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.255248	0.007190	8.976744
7	44.0	4901.235000	4.0	13.0	21.0	10.0	4.08	2.0	636.65	365.0	41.633626	74.114120	561.709522	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.129896	0.008495	8.295455
8	27.0	2689.652500	3.0	10.0	19.0	13.0	11.69	1.0	905.89	222.0	22.795396	58.818110	418.744327	0.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.336806	0.008475	8.222222
9	27.0	3150.801667	6.0	2.0	18.0	19.0	11.40	6.0	557.48	363.0	57.175507	31.935048	419.327815	1.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.176933	0.018146	13.444444

	Edad	Salario_Mensual	Num_Tarjetas_Credito	Tasa_Interes	Retraso_Pago	Num_Pagos_Retrasados	Cambio_Limite_Credito	Num_Consultas_Credito	Deuda_Pendiente	Edad_Historial_Credito	Total_Cuota_Mensual	Inversion_Mensual	Saldo_Mensual	Comportamiento_de_Pago_High_spent_Large_value_payments	Comportamiento_de_Pago_High_spent_Medium_value_payments	Comportamiento_de_Pago_Low_spent_Medium_value_payments	Comportamiento_de_Pago_Low_spent_Small_value_payments	Mezcla_Crediticia_Bad	Mezcla_Crediticia_Good	Mezcla_Crediticia_Standard	Pago_Minimo_No	Pago_Minimo_Yes	Ocupacion_Developer	Ocupacion_Doctor	Ocupacion_Engineer	Ocupacion_Entrepreneur	Ocupacion_Manager	Ocupacion_Scientist	Ocupacion_Writer	debt_to_income	payment_to_income	credit_history_ratio
19347	25.0	14835.973333	3.0	4.0	5.0	0.0	6.67	0.0	137.20	230.0	328.238449	137.422517	919.891963	0.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.009248	0.022124	9.200000
19348	27.0	14302.173333	5.0	6.0	19.0	2.0	4.70	2.0	700.71	338.0	98.712097	153.703305	295.274106	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.048993	0.006902	12.518519
19349	19.0	1983.645000	4.0	10.0	5.0	18.0	17.45	7.0	859.23	335.0	17.603560	30.121641	334.806396	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.433157	0.008874	17.631579
19350	29.0	6341.490000	4.0	6.0	17.0	11.0	7.57	7.0	203.21	242.0	172.150324	51.199374	238.434102	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.032045	0.027147	8.344828
19351	26.0	1295.143333	8.0	32.0	47.0	10.0	16.91	10.0	2654.64	242.0	17.059152	32.095439	253.597403	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	2.049688	0.013172	9.307692
19352	23.0	1741.774167	6.0	18.0	44.0	19.0	5.96	7.0	2088.76	217.0	71.666866	23.024482	161.410561	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.199214	0.041146	9.434783
19353	32.0	3627.391667	5.0	5.0	24.0	1.0	6.54	7.0	699.11	326.0	45.775618	89.012604	249.560383	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.192731	0.012619	10.187500
19354	23.0	1089.858750	7.0	4.0	12.0	5.0	11.90	0.0	1439.09	369.0	14.350146	37.075804	269.599940	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.320437	0.013167	16.043478
19355	22.0	3235.254167	5.0	14.0	20.0	13.0	8.20	5.0	1009.33	219.0	73.891109	40.305559	429.506408	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.311979	0.022839	9.954545
19356	26.0	2211.518333	5.0	7.0	25.0	13.0	8.36	4.0	834.87	224.0	95.037229	38.759534	286.094746	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.377510	0.042974	8.615385

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)